Genome Editing in Drug Discovery. Группа авторов

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Название Genome Editing in Drug Discovery
Автор произведения Группа авторов
Жанр Биология
Серия
Издательство Биология
Год выпуска 0
isbn 9781119671398



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cells are typically monitored by targeted analysis of the genomic loci by a number of assays routinely offered by CROs, including the T7 endonuclease‐based Surveyor assay (Qiu et al. 2004), or the sequencing‐based TIDE assay (Brinkman et al. 2014). A comprehensive assessment of OTEs would require a genome‐wide approach (Zischewski et al. 2017), which are typically resource intensive. Even mapped, it is still unclear to what extent the detected OTEs will impact interpretation of the experimental results. More practically, OTEs can be controlled by analyzing multiple independent clones that are derived either from using the same gRNAs (or a mix of 2–3 gRNAs) or ideally from using different gRNAs. Given that each gRNA has its unique off‐target sites to which the OTEs are most likely to occur, different gRNAs targeting the same gene or locus thus will most likely have different OTE profiles. Further, it is a good practice to also obtain “wild type” (WT) clones for use as controls. These WT clones are derived from the same CRISPR editing reaction yet are wild type at the targeting site, but may carry indels at off‐target sites. Such WT clones thus offer better controls than unedited cells since they have the potential to account for OTEs. The number of independent clones to analyze will vary dependent on a balance of quality, time, and cost. Scientifically, it depends on multiple factors including homogeneity of the parental cells, since clonal heterogeneity can lead to confounding or even invalid results (Ben‐David et al. 2018). Also, editing specificity and efficiency need to be considered. For practicality, it is commonplace to analyze 3–5 independent edited clones along with 3–5 WT clones. Statistically, the more clones analyzed, the higher confidence one will have in the resulting data.

      4.5.4 Deciding on Specific Quality Control Experiments on Engineered Cells

      A key part of the research contract is to define quality control assays for the editing project, in addition to the prerequisite sequence confirmation of the editing site (on‐target editing). While these assays are not always essential, and will require additional effort and cost, certain assays can provide additional evidence supporting the quality of the resulting edited cells.

      4.5.4.1 Confirmation of Gene KO at Protein Level

      4.5.4.2 Confirmation of Genetic Manipulation at RNA Level

      Gene KO clones can also be QC analyzed at the mRNA level via RT‐PCR or RT‐qPCR. This is based on the assumption that mRNAs with frameshift indels are noncoding and are subjected to nonsense mediated decay (NMD) (Popp and Maquat 2016). While this is the case for many genes with frameshift indels in defined cells, some edited RNAs have been observed to escape NMD (Smits et al. 2019). Further analyses revealed that these NMD‐independent RNAs persist in cells via mechanisms involving alternative translation initiation, in‐frame exon skipping, or simply location of indel‐derived premature termination codon (Popp and Maquat 2016; Tuladhar et al. 2019). As such, RT‐qPCR is not commonly used as a quality control assay in gene KO experiments. Nevertheless, targeted RT‐PCR followed by gel electrophoresis or DNA sequencing analysis can reveal detailed information about variant RNA species transcribed from the edited gene, which can facilitate picking of appropriate cell clones for downstream functional analysis. It should be noted that RNA‐based QC assays may become essential when the edited site/sequence involves expression or function of a noncoding RNA (i.e. microRNA, lncRNA).

      In designing HDR‐based knock‐in experiments for nucleotide mutation generation, a frequently raised question is whether to incorporate a silent codon mutation corresponding to the PAM sequence in the donor sequence. Such “PAM‐silent” mutations, once incorporated into the target site, will block re‐cleavage by the CRISPR nuclease. This has become a common practice for SNP/mutation generation to increase KI efficiencies especially when it is low (i.e. <5%). However, this would inevitably introduce a nucleotide mutation in the edited site, albeit as a silent codon change. This silent codon change may have an impact on mRNA (stability, secondary structure, or translation efficiency) and further confound the effect of the targeted nucleotide SNP/mutation on mRNA. It is therefore preferred not to adopt the PAM‐silent strategy, especially if the editing efficiencies are greater than 10%. If used, a QC assay at the mRNA level (i.e. RT‐qPCR) will need to be applied to assess the effect of the mutations (the on‐target nucleotide change plus PAM‐silent mutation) on mRNA among isogenic lines before functional assays are applied.

      In this chapter, we reviewed important design considerations for CRISPR experiments and the major providers of reagents, and discussed ways of working with CROs for genome editing projects. Many of the considerations are equally applicable to projects carried out in‐house. Regardless of where the genome editing projects are to be conducted, we suggest applying the formula Model x Assay x Perturbation, as well as the triple constraint principle – quality, time, and cost – in designing and managing execution of each project. We hope that the guidelines discussed here will help researchers strike an appropriate balance of these principles to maximize scientific impact of this exciting technology within a given budget or resource.

      We would like to thank Gerard Drewes and Michelle Kimberland for critical reading of the manuscript.

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      2 Aguirre, A.J., Meyers, R.M., Weir, B.A. et al. (2016). Genomic copy number dictates a gene‐independent cell response to CRISPR/Cas9 targeting. Cancer Discov. 6: 914–929.

      3 Behan, F.M., Iorio, F., Picco, G. et al. (2019). Prioritization of cancer therapeutic targets using CRISPR‐Cas9